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Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty

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  • Björn Tetzlaff
  • Frank Wendland

Abstract

Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between >0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Björn Tetzlaff & Frank Wendland, 2012. "Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 165-184, January.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:1:p:165-184
    DOI: 10.1007/s11269-011-9911-1
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    References listed on IDEAS

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    1. Guoqiang Wang & Prasantha Hapuarachchi & Hiroshi Ishidaira & Anthony Kiem & Kuniyoshi Takeuchi, 2009. "Estimation of Soil Erosion and Sediment Yield During Individual Rainstorms at Catchment Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1447-1465, June.
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    Cited by:

    1. Jian Sha & Zeli Li & Dennis Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    2. E. Molina-Navarro & S. Martínez-Pérez & A. Sastre-Merlín & R. Bienes-Allas, 2014. "Catchment Erosion and Sediment Delivery in a Limno-Reservoir Basin Using a Simple Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2129-2143, June.
    3. Caterina Samela & Vito Imbrenda & Rosa Coluzzi & Letizia Pace & Tiziana Simoniello & Maria Lanfredi, 2022. "Multi-Decadal Assessment of Soil Loss in a Mediterranean Region Characterized by Contrasting Local Climates," Land, MDPI, vol. 11(7), pages 1-25, July.
    4. V. Chowdary & D. Chakraborthy & A. Jeyaram & Y. Murthy & J. Sharma & V. Dadhwal, 2013. "Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3555-3571, August.
    5. Michaela Hrabalíková & Miloslav Janeček, 2017. "Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 12(2), pages 69-77.
    6. Jian Sha & Zeli Li & Dennis P. Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    7. Xuerou Weng & Boen Zhang & Jinxin Zhu & Dagang Wang & Jianxiu Qiu, 2023. "Assessing Land Use and Climate Change Impacts on Soil Erosion Caused by Water in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.

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